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Propylene polymerization — a computer efficient algorithm with orthogonal collocation
Author(s) -
Sarkar Priyabrata
Publication year - 1992
Publication title -
chemical engineering and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.403
H-Index - 81
eISSN - 1521-4125
pISSN - 0930-7516
DOI - 10.1002/ceat.270150510
Subject(s) - orthogonal collocation , collocation (remote sensing) , computation , polymerization , product (mathematics) , molar mass , algorithm , orthogonal polynomials , feature (linguistics) , product distribution , mathematics , polymer , materials science , collocation method , computer science , differential equation , catalysis , mathematical analysis , chemistry , composite material , ordinary differential equation , organic chemistry , geometry , linguistics , philosophy , machine learning
This paper presents a new approach to the modelling of solid catalyzed Ziegler‐Natta polymerization of propylene, using orthogonal collocation technique. It is shown that this model can predict the width of the molar mass distribution (MWD) of the product polymer. Its computation time is much shorter compared to other models. An interesting feature of the model is that it considers the discrete nature of the microcatalyst particles and takes advantage of solving a smaller number of stiff differential equations by choosing the number of internal collocation points judiciously. In addition, pseudo‐steady state approximation (QSSA) is applied to some of the moment generating equations.